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GLOBECOM
2007
IEEE
16 years 25 days ago
Stochastic Channel Selection in Cognitive Radio Networks
— In this paper, we investigate the channel selection strategy for secondary users in cognitive radio networks. We claim that in order to avoid the costly channel switchings, a s...
Yang Song, Yuguang Fang, Yanchao Zhang
KI
2007
Springer
16 years 19 days ago
Making a Robot Learn to Play Soccer Using Reward and Punishment
In this paper, we show how reinforcement learning can be applied to real robots to achieve optimal robot behavior. As example, we enable an autonomous soccer robot to learn interce...
Heiko Müller, Martin Lauer, Roland Hafner, Sa...
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
15 years 11 months ago
Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed
We propose a multistart CMA-ES with equal budgets for two interlaced restart strategies, one with an increasing population size and one with varying small population sizes. This B...
Nikolaus Hansen
GECCO
2010
Springer
217views Optimization» more  GECCO 2010»
15 years 8 months ago
Benchmarking CMA-EGS on the BBOB 2010 noiseless function testbed
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noiseless function testbed. The CMA-EGS is a hybrid strategy which combines elements from grad...
Steffen Finck, Hans-Georg Beyer
NIPS
2004
15 years 7 months ago
A Second Order Cone programming Formulation for Classifying Missing Data
We propose a convex optimization based strategy to deal with uncertainty in the observations of a classification problem. We assume that instead of a sample (xi, yi) a distributio...
Chiranjib Bhattacharyya, Pannagadatta K. Shivaswam...